Making clusters is easy, but what do they mean ?

[@rishim6816]

Thanks, Very informative as always!!

[@DataScienceDemonstrated]

Thanks , much appreciated !

[@manuelheeg6648]

Thanks, very informativ an helpful. Hope you'll find your deserved success on your channel soon.

[@DataScienceDemonstrated]

Thanks ! Much appreciated

[@necuo25]

Thank you, this was really helpful and you gave me more ideas to complete my analysis. I'm subscribing right now :)))!!

[@DataScienceDemonstrated]

Thanks!

[@ahsan400]

thanks! you are doing a great job explaining these quite subtle concepts. Please could you explain why did you select Tenure and Total Revenue but not column in between? I am trying to understand whats in eigen-vector analysis graph at 2:59 that tells us that these 2 variables are more important than others.

[@DataScienceDemonstrated]

Thanks Ahsan ! You have rightly spottedd that I take Tenure and Total revenue. And I left out the middle one which is Monthly revenue. The eigenvector value (in the bar graph) for Monthly revenue and Tenure is mostly the same. However I left out monthly revenue and went for Tenure for two reasons 1. Tenure and Total revenue are both represent 'total' customer lifetime value, so it is better to take as they are both at same level compared to monthly revenue 2. From Business perspective, a graph of total revenue vs tenure is more understandable and gives more business meaning compared to total revenue vs monthly revenue. Hope this helps

[@sankalpsingh1359]

Can you please specify how you made the plots, specifically radarplot or give its source code?

[@DataScienceDemonstrated]

Hi, I used Javascript library ECharts. See this link echarts.apache.org/examples/en/index.html#chart-type-radar

[@mbuotidemdick9341]

thank you. I really love the light that you shade.
can I have your contact email, I like you to explain geophysical data on subsurface characterization to me using the pattern?

[@DataScienceDemonstrated]

Thanks. Yes sure. Please send mail at [e-mail]